🔺24*7 #Crypto | $#### shared on my timeline is strict NFA | Early Alphas | TA & Research Analyst | Partner @weex_official | $ETH $SOL 📊

Joined May 2021
2,513 Photos and videos
$TAO Added 30 $TAO here will dca more if required. More details soon 💯🤝 MACHINE LEARNING ARTIFICIAL INTELLIGENCE BLOCKCHAIN is the future. #MachineLearning #ArtificialIntelligence #blockchain #cryptocurrency $BTC $ETH $TAO
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$59 trillion. Soon, trade perps on the world’s largest markets, worth tens of trillions combined. → Commodities → Equities → Indices 5 days until Ondo Perps goes live.
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Step 1: Crypto perps are trading billions daily. Step 2: RWA perps will trade trillions. Ondo Perps is the unlock.
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Arise Chikun! $WLD initiate bull market. Yachtzee 😘😘😘😘😘😘😘
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Just launched: VanEck BNB ETF $VBNB The first ETP offering spot exposure to @BNBCHAIN. Prospectus: vaneck.com/VBNBProspectus
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total market cap of all crypto AI coins is $10B total OpenAI alone is currently worth ~$850B based on its last funding round s/o @KSimback for data: crypto-ai-tracker.vercel.app
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We got a long way to go ... pack your bags for da moon.
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Who powers secure AI agents, confidential transactions, and intent-based execution at scale? Arthur Hayes (@CryptoHayes) and NEAR Co-Founder Illia Polosukhin (@ilblackdragon) just laid out how the privacy revolution runs on NEAR. 👇
The @NEARProtocol, ZEC, HYPE Trifecta Bull Thesis with @CryptoHayes & @ilblackdragon Timestamps 00:51 Arthur's Macro Thesis 01:32 AI Is National Defense 04:10 Full Port NEAR Zcash Hype 05:23 L1 Consolidation Has Begun 08:26 Why Arthur Loves Zcash 10:03 Naval Changed Arthur's Mind 12:56 Intents Enable Anonymous Swaps 13:45 20x NEAR vs 5x ZEC 14:51 $19B Volume $33M Fees 15:47 Privacy Enables Mass Adoption 19:07 NEAR Fully Diluted Now 21:01 AI Blockchain Vision 2017 26:31 HyperLiquid Fulfills DeFi Dream 28:43 No VC Sales Revenue Share 32:02 AI Labor Displacement Thesis 38:39 AOC 2028 Risk Scenario 44:39 When Does NEAR Deflate? 46:52 $150 Price Target Hype
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This is what NEAR AI private inference looks like in production. An @AskVenice ($VVV) user selects a TEE model, sends a prompt, and receives a hardware-signed attestation report. Six cryptographic checks passed and verified in 343ms.
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Move funds when you want. $68M moved confidentially out of near.com last month. Privacy is meant to work with you, not keep you trapped.
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Grantr is a controller for agents that lets you put your crypto to work. Your keys. Your rules. Your agents. We support the Grantr community, token, and @bankrbot ecosystem. Beta next, live Base testnet. grantr.id CA: 0x753f2af0f46361C9aE6Fc347797F99B0C9E82Ba3

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Market access is going global. Since launching on @binance 3 months ago, Ondo tokenized stocks have crossed: → 170K participants → 600K transactions → $​3.5B in cumulative volume As a result, Binance has quickly become the largest tokenized stocks exchange, helping expand access to the most in-demand U.S. equities.
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May 19
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okay @Pitch_ERC is looking quite good so far: it's a marketplace on @base for the World Cup you open 1 pack with 1 $PITCH you get 1 country card, which equals 1 token of the country - 0.95 $PITCH goes to the country's liquidity pool (you can sell it later) - 0.05 $PITCH is burnt after 48,000 packs are opened (7500 so far), people can't buy new packs and can only buy countries on the website marketplace good countries would go up, shit countries sit at floor (1 pitch per token)
might have found the onchain world cup cook, let's see
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Looking forward to try @jtx_trade. jtx.trade/?ref=drstrange Register with your mail id. @jito_labs @toly @solana
Solana Is Winning the Trading War @jito_labs co-founder & CEO @buffalu__ joins @gazza_jenks at Consensus to explain why Jito is expanding from @solana infrastructure into consumer trading products with the launch of @jtx_trade. "Most new people coming into crypto are using Solana because it’s fast and cheap." OUTLINE 00:00 - Introduction 00:31 - Why Build on Solana 02:15 - Solana vs Ethereum 03:32 - Builder Challenges 05:38 - Launching JTX 08:12 - The Future of Trading 09:05 - Meme Coins and RWAs 11:27 - FTX and Solana 13:33 - Builder Culture 15:00 - JTX and AI Tools
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Building agents on BNB Chain? Something’s coming 18.05.2026
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How Ratehopper's LP Agent Works ⚡️ ⤵️ A simple example: $1,000 in $ETH collateral Say you deposit $1,000 worth of ETH as collateral on @Base. At 50% LTV, the agent can borrow $500 USDC against it. If the borrow rate is around 5% APY, that comes out to roughly $25 per year in interest, or about $0.07 per day. When conditions are favorable, the agent deploys the borrowed USDC into a concentrated ETH/USDC @Uniswap LP position to capture trading fees. Based on our live data, active concentrated LP positions in this pair can generate 25-80% APY in trading fees depending on range, volatility, and market conditions. Using a 35% APY example, the $500 LP position would generate about $175 per year in fees, or roughly $0.48 per day. That creates a simple spread: $0.48 earned per day - $0.07 owed per day = $0.41 profit per day flowing back toward the debt. In this example, the $500 loan could be repaid in just over 3 years, while your $1,000 ETH collateral remains yours the whole time, with full upside if ETH appreciates. Your agent is not just sitting still the entire time either. It monitors borrow rates across @Aave, @Morpho, @Compound_xyz, and other lending markets in real time. If a materially better rate appears, the agent can refinance the debt in a single transaction, moving your loan to the cheaper protocol without you doing anything manually. Before the agent starts, you choose your risk profile. You can borrow more conservatively with a lower LTV, or deploy more capital with a higher LTV. You can also choose tighter or wider LP ranges depending on how much fee concentration and market flexibility you want. The agent is also built to respond when market conditions change. A sharp ETH move can push an LP position out of range, fees can stop, and the position can take on more risk while debt remains open. Ratehopper agents handle this through an exit signal engine that monitors volatility, onchain sentiment, options markets, futures markets, and broader regime changes. The agent also runs continuous z-score monitoring across key protocol metrics, including utilisation rates, liquidity depth, and onchain activity. If any of these deviate significantly from historical norms, it can be an early signal that something is wrong. A sudden spike in utilisation, for example, can be one of the first onchain signs of a protocol exploit, liquidity crisis, or counterparty stress. When the agent detects an anomaly like that, it can exit the LP position, repay outstanding debt, and move to safety before the damage spreads. When conditions stabilize, it can re-enter. You keep the ETH exposure and generate positive cash flow while the loan manages itself. And when the market gets dangerous, the agent gets out.
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$SUI keeps going ✔️
$SUI heading towards $1.3 🎯
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Coming soon👀
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